SAS Programmer, Public Health Data Integration (Hybrid)
About The Position
The SAS Programmer develops and maintains scripts, applications, system integrations, automated data pipelines, and dashboards supporting public health data processing, analysis, and interoperability. The role works with structured and semi-structured health, public health, and complex administrative data, translating programmatic and business needs into technical solutions and documenting system requirements and data specifications. This is a temporary project estimated to last 12 months, with possible extensions. The hybrid work arrangement is four days remote and one required onsite day in Austin, Texas; this arrangement may change at the hiring team's discretion. Only local candidates should apply.
Requirements
- Eight years of experience developing, testing, maintaining, and troubleshooting scripts in SAS, Python, R, or a similar programming language.
- Eight years of experience with system integration, dashboard creation, and automation to improve interoperability workflows.
- Eight years of experience working with structured or semi-structured health, public health, or other complex administrative data, and knowledge of databases and database querying.
- Eight years of experience developing reports that document system requirements, identify programmatic and business needs, and translate them into technical solutions.
- Eight years of experience testing and validating automated data-integration solutions.
- Eight years of experience documenting code and technical specifications to improve workflows and procedures.
- Eight years of experience demonstrating analytical and problem-solving skills, communicating technical concepts to technical and nontechnical staff, and working collaboratively.
- Local candidates only.
- Ability to work hybrid, including one required onsite day in Austin, Texas.
Nice To Haves
- Two years of experience with electronic case reporting (eCR/eICR), Electronic Health Records, Health Information Exchange, interoperability standards such as HL7, XML, or FHIR, or clinical terminology standards such as SNOMED CT.
- Two years of experience with SQL and relational databases, public health surveillance systems or registries, data linkage and matching, or automated data pipelines and ETL processes.
Responsibilities
- Develop, test, and maintain automated scripts and applications using SAS, Python, R, or similar languages for data processing, analysis, and system interoperability.
- Design and implement system integrations, automated ETL pipelines, and interactive dashboards to streamline workflows and improve data accessibility across public health and administrative systems.
- Analyze, manage, and query structured and semi-structured health, public health, and complex administrative data using SQL and database management techniques.
- Translate programmatic and business needs into technical solutions by developing reports documenting system requirements and data specifications.
- Test, validate, and document automated data-integration solutions, ensuring code quality, reliability, and alignment with technical procedures and standards.
- Apply healthcare interoperability standards and clinical terminologies to support electronic case reporting, EHR integration, and public health surveillance.
- Communicate technical concepts to diverse audiences and collaborate across functions to solve analytical problems, optimize data linkage, and enhance health information exchange initiatives.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Senior
Education Level
No Education Listed
